Junior Data Engineer (Wilmslow)

Location: Greater Manchester (Hybrid)

Salary: £40,000 - £45,000 with excellent benefits (dependent on level)

About the Company:

The company is an ambitious, innovative, and rapidly expanding data consultancy dedicated to delivering impactful data solutions for a diverse client portfolio. The culture is built on collaboration, continuous learning, and making a real difference through data-driven insights. The organisation prioritises a supportive environment that encourages growth, practical problem-solving, and technical excellence.

Why Join the Company:

• Work on high-impact, diverse projects for impressive clients across finance, retail, manufacturing, and technology sectors.
• Be part of a supportive team that values innovation, expertise, and professional development.
• Benefit from a flexible hybrid working model with remote and on-site options.
• Enjoy a comprehensive package including 35 days holiday plus bank holidays, pension scheme, and ongoing training opportunities.

Key Responsibilities:

• Develop end-to-end data pipelines using Python, Databricks, PySpark, and SQL.
• Integrate data from various sources including APIs, Excel, CSV, JSON, and databases.
• Manage data lakes, warehouses, and lakehouses within Azure cloud environments.
• Apply data modelling techniques such as Kimball methodologies, star schemas, and data warehouse design principles.
• Build and support ETL workflows using tools like Azure Data Factory, Synapse, Delta Live Tables, dbt, SSIS, etc.
• Automate infrastructure deployment with Terraform, ARM, or Bicep.
• Collaborate on report development and visualisation with Power BI.
• Manage version control and deployment pipelines using Git, Azure DevOps, or GitHub.
• Use scripting (PowerShell/Bash) for automation tasks.
• Contribute to the development of applications and APIs supporting data workflows.
• Promote best practices regarding code quality, testing, observability, and operational stability.

Ideal Candidate:

• Possesses 1.5+ years of practical data engineering experience.
• Has strong skills in Python, SQL, and PySpark.
• Experienced working with data lakes, warehouses, lakehouses, and cloud platforms, preferably Azure.
• Knowledgeable in data modelling, including Kimball and star schemas.
• Familiar with ETL tools such as Azure Data Factory, Synapse, Delta Live Tables, dbt, SSIS.
• Experienced with Infrastructure as Code (Terraform, ARM, Bicep).
• Skilled in Power BI report development.
• Proficient in version control and CI/CD practices.
• Capable of scripting automation with PowerShell or Bash.
• Knowledge of DevOps, MLOps, and LLMOps is desirable.
• Experienced in application and API development is an advantage.

What They Are Looking For:

• A pragmatic problem solver who balances technical solutions with business requirements.
• Confident in owning full data pipelines from ingestion to deployment.
• An excellent communicator capable of explaining complex concepts clearly.
• Passionate about maintaining high standards for code quality, testing, and operational observability.

What’s on Offer:

• Hybrid working model (Greater Manchester-based office).
• 35 days holiday plus bank holidays.
• Opportunity to work on high-impact projects with an impressive client base.
• A supportive and collaborative culture with a focus on innovation and growth.

Mirai believes in the power of diversity and the importance of an inclusive culture. They welcome applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both their team and their partners' teams. This is just one of the ways that they’re taking positive action to shape a collaborative and diverse future in the workplace.